A Knowledge Base and Question Answering System Based on Loglan and English
by Linker, Sheldon, Ph.D., AUBURN UNIVERSITY, 2011, 167 pages; 3464507

Abstract:

One of the "holy grails" of computational linguistics has been to have a machine carry out a conversation, and to have some idea of what it is talking about. Loglan's (Brown, 1960 & 1975) machine grammar (Linker, 1980) was a first attempt to carry out such a project using a grammar which was unambiguous, yet able to encompass the whole of human discourse. Writing a logical, speakable language, with a SLR-1 (simple left-to-right parsing, with one look-ahead) grammar, and then reducing that to a functional form results in a language which is hard to use for spoken logic, and is hard to translate into. A more useful way to go is to use the symbols of predicate, first-order logic, second-order logic, and higher-order logic, to use the word-classes of Loglan, to build a functional form from those in combination, and then to work backward from such a functional form to a speakable language, as much like English and Loglan, in priority order, as possible. Such a language is feasible, speakable, understandable, and useful (Linker, 2007). The result was the JCB-English language.

The thesis presented herein is that JBC-English can be improved by a number of means, making the language easier to learn and speak, more concise, and faster to process. The research and development projects detailed herein are to produce an improved version of the language, and the language processing system, which can be effectively used for human and machine discourse, and a demonstration system, which converses in this language, in such a way as to be useful in business and academia.

 
AdviserCheryl Seals
SchoolAUBURN UNIVERSITY
SourceDAI/B 72-10, p. , Aug 2011
Source TypeDissertation
SubjectsInformation technology; Artificial intelligence; Computer science
Publication Number3464507
Adobe PDF Access the complete dissertation:
 

» This is an open access dissertation.
  Use the link below to access the full text PDF of this graduate work:
  http://gradworks.umi.com/3464507.pdf
  Use the link below to search and retrieve all open access dissertations:
  http://pqdtopen.proquest.com

About ProQuest Dissertations & Theses
With over 2.3 million records, the ProQuest Dissertations & Theses (PQDT) database is the most comprehensive collection of dissertations and theses in the world. It is the database of record for graduate research.

The database includes citations of graduate works ranging from the first U.S. dissertation, accepted in 1861, to those accepted as recently as last semester. Of the 2.3 million graduate works included in the database, ProQuest offers more than 1.9 million in full text formats. Of those, over 860,000 are available in PDF format. More than 60,000 dissertations and theses are added to the database each year.

If you have questions, please feel free to visit the ProQuest Web site - http://www.proquest.com - or call ProQuest Hotline Customer Support at 1-800-521-3042.